Integration Services

Data Integration Services

Overview

We use a group of services that comply with service-oriented architecture. Employing data integration as an enterprise service include reduced time for marketing, a decrease of total cost of ownership (TCO), and an alternative way to replace legacy systems and expensive data-integration patterns, available in organizations.

Data Integration for Healthcare

Ontotext‘s Linked Data Integration for Healthcare breaks the productivity barrier, transforming the raw patient data into structured knowledge. Linked Data Integration for Healthcare is designed to process large volumes of patient records, extracting and semantically indexing data about the patient’s diagnoses, treatments, medications and events timing. In order to semantically fuse the extracted data with the available structured knowledge, the modeling of identified facts is compliant with the industry standards and accurately coded with the approved ontologies.

Using LGIF allows combining of structured and unstructured analytical queries, increasing the accuracy of data mining and including both public data and your own data in search results. It also merges internal and standard public terminology like MedDRA and SNOMED.

Health Insurance Insights

Health Insurance Insights streamlines the process for defining medical consistency rules. The system automatically discovers expert validated medical information in highly trusted data sources approved by the medical regulatory authorities. The payers in this process are always trying to reduce the amount of money spent, but at the same time to ensure that the necessary medical therapies and appropriate levels of care are delivered to the patients.

As the coverage of the plans is extended and new procedures and treatments are included, the amount of information which needs to be processed and validated increases. Health Insurance Insights can deliver such a new, automatic approach to match the billable activities with the medical necessities and recommendations by regulators.

Semantic News Publishing

Scientific and academic publishers can maximize content value by leveraging existing taxonomies, thesauri and controlled vocabularies. You can enrich your knowledge assets and deliver content to readers across academic disciplines. There is no need to change how you work. Integration with your academic workflows allows authors and editors to validate enriched content assets and intelligent recommendations. The system “self learns” as more content is provided.